Litcius/Paper detail

Feature learning for stacked ELM via low-rank matrix factorization

Tinghui Ouyang

2021Neurocomputing24 citationsDOI

Topics & Concepts

Extreme learning machineComputer scienceFeature (linguistics)Random projectionArtificial intelligenceCurse of dimensionalityPattern recognition (psychology)AutoencoderNon-negative matrix factorizationRepresentation (politics)Rank (graph theory)Feature learningNonlinear systemProjection (relational algebra)Dimensionality reductionMatrix (chemical analysis)Layer (electronics)Matrix decompositionAlgorithmDeep learningArtificial neural networkMathematicsPhysicsLawPolitical sciencePoliticsQuantum mechanicsChemistryComposite materialMaterials scienceOrganic chemistryEigenvalues and eigenvectorsPhilosophyCombinatoricsLinguisticsMachine Learning and ELMDomain Adaptation and Few-Shot LearningNeural Networks and Applications
Feature learning for stacked ELM via low-rank matrix factorization | Litcius